bring back images

SNLI-VE.py

@@ -62,10 +62,11 @@ _SNLI_VE_SPLITS = {
     "validation": "snli_ve_dev.jsonl",
     "test": "snli_ve_test.jsonl",
 }
-# JZ_FOLDER_PATH = f"{os.environ['cnw_ALL_CCFRSCRATCH']}/local_datasets/flickr30k-images.tar.gz"
+JZ_FOLDER_PATH = f"{os.environ['cnw_ALL_CCFRSCRATCH']}/local_datasets/flickr30k-images.tar.gz"
 
 _FEATURES = datasets.Features(
-                {
+                {   
+                    "image": datasets.Image(),
                     "filename": datasets.Value("string"),
                     "premise": datasets.Value("string"),
                     "hypothesis": datasets.Value("string"),
@@ -77,15 +78,7 @@ _FEATURES = datasets.Features(
 class SNLIVE(datasets.GeneratorBasedBuilder):
     """SNLIVE."""
 
-    # @property
-    # def manual_download_instructions(self):
-    #     return """\
-    # In order to get the flickr data on which SNLI-VE is built, You need to go to http://shannon.cs.illinois.edu/DenotationGraph/data/index.html,
-    # and manually download the dataset ("Flickr 30k images."). Once it is completed,
-    # a file named `flickr30k-images.tar.gz` will appear in your Downloads folder
-    # or whichever folder your browser chooses to save files to.
-    # Then, the dataset can be loaded using the following command `datasets.load_dataset("flickr30k", data_dir="<path/to/folder>")`.
-    # """
+    
     DEFAULT_CONFIG_NAME = "Default"
     logger.warning("HER0")
     def _info(self):
@@ -108,7 +101,7 @@ class SNLIVE(datasets.GeneratorBasedBuilder):
             },
         }
         snli_ve_annotation_path = dl_manager.download_and_extract(urls)
-        images_path = "" # dl_manager.download_and_extract(JZ_FOLDER_PATH)
+        images_path = dl_manager.download_and_extract(JZ_FOLDER_PATH)
 
         return [
             datasets.SplitGenerator(
@@ -142,8 +135,9 @@ class SNLIVE(datasets.GeneratorBasedBuilder):
             for elem in json_file:
                 elem = json.loads(elem)
                 img_filename = str(elem["Flickr30K_ID"]) + ".jpg"
-                # assert os.path.exists(os.path.join(images_path, img_filename))
+                assert os.path.exists(os.path.join(images_path, img_filename))
                 record = {
+                    "image": img_filename,
                     "filename": img_filename,
                     "premise": elem["sentence1"],
                     "hypothesis": elem["sentence2"],